TY - GEN
T1 - Risk evaluation of warehouse operations using fuzzy FMEA
AU - Ustundag, Alp
PY - 2012
Y1 - 2012
N2 - Warehouse processes in supply chain operations contain risks which lead to a poor supply chain performance. Therefore, risk analysis in warehouse operations is a critical issue to increase both the supply chain efficiency and the customer service level. In this study, fuzzy FMEA method is used to evaluate the risks of warehouse operations. Ten failure factors are determined for warehouse operations of a food retail distributor. As the first five cause permanent shrinkage of products, the second five are related to the processes. According to the evaluations of the FMEA team members, fuzzy and crisp risk priority numbers (RPN) of ten failure factors are determined.
AB - Warehouse processes in supply chain operations contain risks which lead to a poor supply chain performance. Therefore, risk analysis in warehouse operations is a critical issue to increase both the supply chain efficiency and the customer service level. In this study, fuzzy FMEA method is used to evaluate the risks of warehouse operations. Ten failure factors are determined for warehouse operations of a food retail distributor. As the first five cause permanent shrinkage of products, the second five are related to the processes. According to the evaluations of the FMEA team members, fuzzy and crisp risk priority numbers (RPN) of ten failure factors are determined.
KW - fuzzy FMEA
KW - risk evaluation
KW - risk priority number (RPN)
KW - warehouse operations
UR - https://www.scopus.com/pages/publications/84868293020
U2 - 10.1007/978-3-642-31724-8_42
DO - 10.1007/978-3-642-31724-8_42
M3 - Conference contribution
AN - SCOPUS:84868293020
SN - 9783642317231
T3 - Communications in Computer and Information Science
SP - 403
EP - 412
BT - Advances in Computational Intelligence - 14th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2012, Proceedings
T2 - 14th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2012
Y2 - 9 July 2012 through 13 July 2012
ER -